Technology Product Analyst

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship

Partner with Enterprise Data Governance stakeholders, business units, and technology teams to understand business processes and data needs and translate them into practical technical solutions. This role combines business engagement with hands-on technical contribution. The analyst will develop, test, implement, and support solutions that improve data quality, observability, metadata, lineage, and governance across cloud data platforms, while working with senior team members on complex design and implementation decisions.

- Bachelor’s degree in computer science, information systems, data analytics, or a related field, or the equivalent combination of education, training, and experience.
- Typically 5–8 years of relevant experience in technology product analysis, data engineering, software development, data analytics, or a related technical discipline.
- Experience working directly with business stakeholders to understand business processes, document data needs, and translate requirements into implementable technical solutions.
- Strong communication, facilitation, and relationship-building skills, including the ability to explain technical concepts to non-technical stakeholders.
- Hands-on experience developing, testing, debugging, deploying, and supporting code in an enterprise environment.
- Proficiency in Python and SQL; exposure to Java, Scala, or a similar programming language is a plus.
- Experience working with cloud-based data lake, data warehouse, or data hub environments; experience with Microsoft Azure or Databricks is preferred.
- Working knowledge of data pipelines, APIs, Git-based source control, automated testing, and CI/CD practices.
- Experience with data quality, observability, or monitoring; familiarity with Ataccama or a similar platform is preferred.
- Exposure to metadata, lineage, or data catalog tools such as Alation, Databricks Unity Catalog, Collibra, or similar platforms is preferred.
- Working knowledge of data governance, data security, and data management principles.
- Exposure to data modeling concepts or tools such as Erwin or Hackolade is a plus.
- Curiosity, initiative, and willingness to work through technical details, investigate issues, and contribute to implementation and support.
- Ability to balance hands-on development with requirements analysis, documentation, stakeholder collaboration, and production support.
- Strong analytical, problem-solving, verbal, and written communication skills.
- Ability to manage assigned priorities, seek guidance when needed, and contribute effectively in a collaborative environment.

Additional Information

Hours:

- Monday - Friday, 8:00AM - 4:30PM

Location:

- 820 Follin Lane, Vienna, VA 22180